survival

R package survival: Survival analysis, including penalised likelihood , survival analysis: descriptive statistics, two-sample tests, parametric accelerated failure models, Cox model. Delayed entry (truncation) allowed for all models; interval censoring for parametric models. Case-cohort designs. (Source: http://cran.r-project.org/web/packages)


References in zbMATH (referenced in 135 articles )

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  1. Alireza S. Mahani; Mansour T.A. Sharabiani: Bayesian, and Non-Bayesian, Cause-Specific Competing-Risk Analysis for Parametric and Nonparametric Survival Functions: The R Package CFC (2019) not zbMATH
  2. Barreto-Souza, Wagner; Mayrink, Vinícius Diniz: Semiparametric generalized exponential frailty model for clustered survival data (2019)
  3. Di Caterina, Claudia; Cortese, Giuliana; Sartori, Nicola: Monte Carlo modified profile likelihood in models for clustered data (2019)
  4. Dobler, Dennis: Bootstrapping the Kaplan-Meier estimator on the whole line (2019)
  5. Emura, Takeshi; Matsui, Shigeyuki; Rondeau, Virginie: Survival analysis with correlated endpoints. Joint frailty-copula models (2019)
  6. Haller, Bernhard; Ulm, Kurt; Hapfelmeier, Alexander: A simulation study comparing different statistical approaches for the identification of predictive biomarkers (2019)
  7. Jaeger, Byron C.; Long, D. Leann; Long, Dustin M.; Sims, Mario; Szychowski, Jeff M.; Min, Yuan-I; McClure, Leslie A.; Howard, George; Simon, Noah: Oblique random survival forests (2019)
  8. Shih, Jia-Han; Emura, Takeshi: Bivariate dependence measures and bivariate competing risks models under the generalized FGM copula (2019)
  9. Shi, Yueyong; Xu, Deyi; Cao, Yongxiu; Jiao, Yuling: Variable selection via generalized SELO-penalized Cox regression models (2019)
  10. Theodor Balan; Hein Putter: frailtyEM: An R Package for Estimating Semiparametric Shared Frailty Models (2019) not zbMATH
  11. Brown, Jonathon D.: Advanced statistics for the behavioral sciences. A computational approach with R (2018)
  12. Chenguang Wang; Thomas Louis; Nicholas Henderson; Carlos Weiss; Ravi Varadhan: beanz: An R Package for Bayesian Analysis of Heterogeneous Treatment Effects with a Graphical User Interface (2018) not zbMATH
  13. Chiou, Sy Han; Qian, Jing; Mormino, Elizabeth; Betensky, Rebecca A.: Permutation tests for general dependent truncation (2018)
  14. Daniela Dunkler; Meinhard Ploner; Michael Schemper; Georg Heinze: Weighted Cox Regression Using the R Package coxphw (2018) not zbMATH
  15. Dean, Natalie E.; Halloran, M. Elizabeth; Longini, Ira M.: Design of vaccine trials during outbreaks with and without a delayed vaccination comparator (2018)
  16. Diego Saldana; Yang Feng: SIS: An R Package for Sure Independence Screening in Ultrahigh-Dimensional Statistical Models (2018) not zbMATH
  17. Dobler, Dennis; Pauly, Markus: Bootstrap- and permutation-based inference for the Mann-Whitney effect for right-censored and tied data (2018)
  18. Efromovich, Sam: Missing and modified data in nonparametric estimation: with R examples (2018)
  19. Hajage, David; Chauvet, Guillaume; Belin, Lisa; Lafourcade, Alexandre; Tubach, Florence; De Rycke, Yann: Closed-form variance estimator for weighted propensity score estimators with survival outcome (2018)
  20. Higueras, Manuel; Howes, Adam: Poisson excess relative risk models: new implementations and software (2018)

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